Triple
T4142951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooksby Farm |
E89312
|
entity |
| Predicate | hasProduce |
P34858
|
FINISHED |
| Object | apples |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: apples | Statement: [Brooksby Farm, hasProduce, apples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProduce Context triple: [Brooksby Farm, hasProduce, apples]
-
A.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
B.
hasProducer
Indicates that one entity serves as the producer or creator responsible for making or manufacturing another entity.
-
C.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
D.
hasProductionMethod
Indicates that one entity is produced, created, or manufactured using the method, process, or technique specified by another entity.
-
E.
includesProduce
chosen
Indicates that one entity contains or offers certain produce items as part of its contents, inventory, or offerings.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af018a54848190987f18c066c75068 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:43 p.m.